This chapter explores the advancements in understanding vulnerabilities within language models, focusing on user feedback and novel attack techniques. It introduces 'digestion learning' and emphasizes the effectiveness of multi-turn interactions as a significant attack method, analyzing model defenses against these strategies. The discussion highlights the evolving challenges of jailbreaking AI systems and the balance between safety measures and usability, while proposing the need for innovative safety research.

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